CN109389155A - A kind of interactive learning methods, electronic equipment and storage medium - Google Patents
A kind of interactive learning methods, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/06—Electrically-operated educational appliances with both visual and audible presentation of the material to be studied
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Abstract
The invention discloses a kind of interactive learning methods, it include: feedback learning task step, according to the corresponding word flash card learning tasks content of selection study instruction feedback, word flash card word correspondence image, word, word application example sentence and the word and example sentence translation content that correspond to user's mother tongue；Feedback shooting task step in kind feeds back shooting task interface in kind and related prompt according to shooting task requests；Vision inspections step obtains the image of user's shooting, identifies image according to the identification model pre-established, image recognition result and task word are compared, judge whether shooting task in kind is correctly completed, and feeds back accordingly result.The invention also discloses a kind of electronic equipment and storage mediums, a kind of interactive learning methods, electronic equipment and storage medium of the invention, after card learning Content, in order to further strengthen memory, shooting task in kind is provided to select for user, and then strengthening memory of the user to learned word, preferably auxiliary user learns language.
Description
Technical field
The present invention relates to field of image recognition more particularly to a kind of interactive learning methods, electronic equipment and storage medium.
Background technique
Language is the most important the vehicle of communication of the mankind, is the main expression way that people are linked up, people are by language
Save and transmit the achievement of human civilization.All the time, language learning is all the most important thing of educational undertaking, and as language is taught
The progress educated, people are no longer limited to learn the mother tongue of itself, and on this basis, more and more people select study one
Second language is to promote itself communication, communication capability.The initial stage of language learning, be to a series of sound, symbol and
The identification of its meaning sanctified by usage, whole again and reproduction process, during which need by repeatedly could gradually understand repeatedly until slapping
Hold memory.Process for children for learning language is also perception and the process for understanding voice and symbol, and the perception to word is mainly
Assurance to the tone and shape of word, and be then assurance to the meaning of a word to the understanding of word.
Currently, the considerations of for assisting language learning, have software and the application of some assisted learning, utilize pronunciation of words
It is equipped with hand-drawing image and corresponding word and sentence text, to help children for learning and remember the vocabulary of various different languages, however,
The close scene noun of some shapes or form, things in study, the understanding of children still can have deviation.And for strong
For changing memory, the mode of correspondence image is equipped with only by pronunciation, so that grasping the semantic of word needs a longer mistake
Journey.
Based on this, in language learning, children how to be helped to better understand and grasp knowledge point, by article plane
Graph image cognition and knowledge point, which teach to connect with the material object in reality scene, strengthen memory and cognition inspection, thus
Effectively auxiliary teenager preferably learns a Men Yuyan, and parent or educational institution is helped to further appreciate that children's study feelings
Condition, especially understanding children are present society question of common concern and research side to the semantic knowledge and the degree of understanding of word, sentence
To.
Summary of the invention
It for overcome the deficiencies in the prior art, can one of the objects of the present invention is to provide a kind of interactive learning methods
After carrying out word study in a manner of figure, word, sentence, further strengthens memory by shooting task in kind and cognition is examined,
Preferably assisted learning language.
An object of the present invention adopts the following technical scheme that realization:
A kind of interactive learning methods, comprising: feedback learning task step, according to the corresponding word of selection study instruction feedback
Card learning tasks content, the word flash card word correspondence image, word, word application example sentence and the list for corresponding to user's mother tongue
Word and example sentence translate content；Feedback shooting task step in kind, according to shooting task requests, feed back shooting task interface in kind and
Correlation prompt；Vision inspections step obtains the image of user's shooting, identifies image according to the identification model pre-established, will scheme
As recognition result and task word compare, judge whether shooting task in kind is correctly completed, and feed back accordingly result.
Further, before the feedback learning task step, further includes: establish identification model step, obtain each list
The image of multiple angles, carries out learning training by convolutional neural networks algorithm, establishes each list under the corresponding different light in kind of word
Word corresponds to the identification model of article.
Further, established in identification model step described, by each image carry out after gray proces again into
Row feature extraction extracts standard form by recognition training, establishes standard feature library, completes the identification that each word corresponds to article
Model foundation.
Further, it includes multiple standard forms that each word, which corresponds to article,.
Further, during gray proces, the article in each image is made by mass center alignment and linear interpolation amplification
Become unified specification.
Further, in the feedback learning task step, also according to the playing request feedback broadcasting of user and task
Word, the corresponding audio content of word application examples sentence.
Further, in feedback shooting task step in kind, if user is in shooting task interface set period of time
It does not shoot upload image inside, then feeds back task word and correspond to Chinese speech content.
Further, in described image checking procedure, if user's material object shooting task completes correct, the corresponding prize of feedback
It encourages；If user's material object shoots task and completes mistake, feeds back correct material picture and/or prompt user is shot again to complete to appoint
Business.
The second object of the present invention is to provide a kind of electronic equipment, can carry out word in a manner of figure, word, sentence
After habit, further strengthens memory by shooting task in kind and cognition is examined, preferably assisted learning language.
The second object of the present invention adopts the following technical scheme that realization:
A kind of electronic equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor realize a kind of language learning side as described in one of the object of the invention when executing described program
Method.
The third object of the present invention is to provide a kind of storage medium, and word can be carried out in a manner of figure, word, sentence
After habit, further strengthens memory by shooting task in kind and cognition is examined, preferably assisted learning language.
The third object of the present invention adopts the following technical scheme that realization:
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
A kind of interactive learning methods as described in one of the object of the invention are realized when row.
Compared with prior art, the beneficial effects of the present invention are:
A kind of interactive learning methods, electronic equipment and storage medium of the invention, by including word corresponding diagram providing
After the card learning Content of word and example sentence the translation content of picture, word, word application example sentence and corresponding user's mother tongue, in order into
One step strengthens memory, provides shooting task in kind and selects for user, according to the material picture of user's shooting and the knowledge pre-established
Other model is compared, and judges whether the material picture of user's shooting corresponds to same article with task word, and then strengthens user
Memory to learned word, while examining user to the grasp situation of learned word, preferably auxiliary user learns language.
Detailed description of the invention
Fig. 1 is to invent a kind of interactive learning methods flow chart；
Fig. 2 is card learning tasks content interface.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Embodiment one:
A kind of interactive learning methods based on image recognition as shown in Figure 1, include the following steps:
S0 establishes identification model step, obtains the image of multiple angles under the corresponding different light in kind of each word, passes through volume
Product neural network algorithm carries out learning training, establishes the identification model that each word corresponds to article；
S1 feedback learning task step, it is single according to the corresponding word flash card learning tasks content of selection study instruction feedback
Word card word correspondence image, word, word application example sentence and the word and example sentence translation content that correspond to user's mother tongue；
S2 feedback shooting task step in kind feeds back shooting task interface in kind and correlation mentions according to shooting task requests
Show；
S3 vision inspections step obtains the image of user's shooting, identifies image according to the identification model pre-established, will scheme
As recognition result and task word compare, judge whether shooting task in kind is correctly completed, and feed back accordingly result.
The interactive learning methods of the present embodiment, first by showing graphical image plane and being equipped with word, sentence and right
The translation content answered carries out knowledge point and teaches, and user can help to understand and strengthen memory correspondence by mission mode after study
Knowledge, the completion correctness detection study that simultaneity factor passes through judgement task understand and grasp situation, being capable of timely correction mistake
Understanding input accidentally, helps user preferably to carry out the study and understanding of second language.For underage child, to
Practising mother tongue is also a kind of preferable supplementary mode.When carrying out language learning and guidance, pass through user terminal such as mobile phone, learning machine
Images of items and relevant word, example sentence and corresponding sound pronunciation under corresponding various classification scenes are shown to carry out knowledge biography
Award, by seeing, listening, with reading learning process to user carry out knowledge teach, later again by mission mode progress knowledge learning,
Understand the detection of situation, user is helped to remember the reinforcing of corresponding word.
Firstly, on the one hand, it is desirable to provide all words of study, each word correspondence are stored with word, word application
The audio content of the word and example sentence translation content and word, word application example sentence of example sentence and corresponding user's mother tongue.In addition,
Each word further includes having its corresponding article in kind or hand-drawing image.It should be noted that providing all words of study
It is noun, these words cover the noun for having the types such as article, food, animal, plant, and system is first divided according to type
Class facilitates the word of the corresponding classification of subsequent user selection to be learnt.On the other hand, subsequent user reality is judged in order to identify
Object shoots the image that task uploads, and needs to pre-establish system and provides the identification mould for examining all words of study to correspond to article
Type.For example, if system provides the noun for examining the word learnt to be mostly the types such as article, food, animal, plant, by mutual
Networking obtains the figure for all angles that the corresponding various articles of these words, food, animal, plant shoot under different light
Then piece carries out learning training by convolutional neural networks algorithm, establishes identification model.Identification model establishment process is specifically such as
Under:
1, the treatment effeciency of server is improved by carrying out gray proces to image first.Gray proces weighted mean method
Formula is as follows:
F (i, j)=0.30R (i, j)+0.59G (i, j)+0.11B (i, j)
Wherein, i, j represent a pixel in the position of two-dimensional space vector, it may be assumed that the i-th row, jth column.According to above-mentioned public affairs
Formula calculates the gray value of each pixel of each image, and value range is 0-255, makes image that black-white-gray state all be presented.In addition,
In order to solve the problems, such as in picture article there are positional shift, not of uniform size, rotation is indefinite, need to be aligned by mass center and linear
Interpolation amplification can make the article in image become unified specification, in order to subsequent match.Mass center alignment and linear interpolation are put
Greatly existing more mature image processing techniques, seldom repeats here.
2, after completing gray proces, then feature extraction is carried out to image, all images of article is corresponded to from each word,
The feature vector of certain dimension is extracted from image, to improve the amount of storage and arithmetic speed of article matching and identification.By
There are many features in every kind of article, suitable feature is selected to can be only achieved the purpose correctly identified.The present embodiment is according to various
The combinations such as color, texture, pattern, shape, the transparency of the space density of different articles arrangement situation feature, by images of items point
For M*N grid spaces, the ratio between pixel number and the total pixel number of article in each grid are calculated, to obtain M*N Wei Te
Levy vector.M, the value of N is set according to actual needs.
3, finally by recognition training, standard form is extracted from each images of items of training set, establishes standard feature library,
That is identification model.Every kind of article has several hundred a standard forms, after feature extraction, by the feature vector of each article of training set
It is stored in file, needs to indicate the right value of various articles when training.After completing aforesaid operations, then each word of system word library
Be corresponding with the identification model that multiple standard forms are constituted, when subsequent user uploads shooting task image, only need to be by image at
Reason is compared with identification model can determine that user's shooting figure seems no corresponding with task word.
Later, user is when carrying out language learning, by user terminal, system first show including animal, plant, food,
The study scene of the multiple classification of automobile etc. is selected for user, includes the corresponding word flash card of multiple articles under each scene
Task definition is practised, system in advance classifies the word for providing study, and user's specific aim can be facilitated to learn.Obtaining user
After the scene selection study instruction of selection, all cards that selection study instructs corresponding scene can be fed back in order or at random
Learning tasks content.On the subscriber terminal, any one card learning tasks content is shown by interactive interface, with English study
For, card learning tasks content interface is as shown in Fig. 2, word flash card content includes: that scene word image, scene article are retouched
Word, the word of word application example sentence and corresponding user's mother tongue and example sentence translation content are stated, word and example sentence back are provided with reading
The button that sound plays is clicked the i.e. transmittable playing request of button and is obtained in audio corresponding with task word, word application examples sentence
Hold.Task of taking pictures after being additionally provided with study below example sentence opens shooting interface in kind by clicking transmission shooting task requests
It is shot.It should be noted that scene noun and word application example sentence be user need to learn English, Japanese or other the
Two language can switch the languages of study after being arranged by backstage, default setting is English learning, and corresponding mother tongue is Chinese.
Button of taking pictures is clicked after user carries out scene word, example sentence learns and starts shooting task, and user terminal prompts user
Article photo upload corresponding with scene is shot, the photo that user submits is obtained.In addition, as user is longer in the stop of shooting interface
Time does not carry out other operations, then plays corresponding Chinese speech content presentation user, user is facilitated to understand the semanteme of word, complete
At shooting task in kind.
After user uploads shooting task image, system obtains the photo that user submits, and utilizes the identification mould pre-established
Type identifies judge whether the article shot in photo correct, correctly then awards to photo, mistake then show one just
True photo in kind is checked to user, while user being prompted to be shot again to complete task.It should be noted that for user's mistake
The picture accidentally uploaded, if system test can also feed back the error image to another word in the image correspondence system simultaneously
Practical corresponding word.In addition, encouraging user especially children to carry out language to improve the interest that this method studies English
Study is examined, and includes 3 shooting tasks to each word, is repeatedly shot to upload successfully only to be calculated as completing once shooting on the same day and be appointed
Business is completed to obtain a star reward every time, and the voice entered under next scene later plays article and shoots task.Identify mould
Type matching identification process is specific as follows:
1, button of taking pictures is clicked after user finds a view in user terminal view-finder, shooting article photo is submitted, system
The article photo that acquisition user submits carries out gray proces to photo, is amplified by mass center alignment and linear interpolation by scene object
The processing of product photo is unified specification, in order to match.
2, feature extraction is carried out to article photo, compares the identification model pre-established to the type of items for including in photo
Identified judge whether the article shot in photo is correct according to recognition result.When identification, and one when establishing identification model
Sample, according to the combinations such as the color of the space density of different articles, texture, pattern, shape, transparency arrangement situation feature, by object
Product image is divided into M*N grid spaces, calculates points in each grid and the ratio between article is always counted, obtain M*N dimensional feature
The feature vector for all kinds of articles for including in the feature vector and identification model of extraction is compared, is judged in photo by vector
The type of the article of shooting, the type of items result that will identify that are compared with the type of items in task, judge shooting task
Whether it is correctly completed.
3, when user is correctly completed shooting task, judge whether the task meets star bonus requirements, be, give one
Next voice is opened after star reward plays and shoot task；A correctly reality is shown if shooting task recognition result mistake
Object photo returns to task interface after checking to user and plays voice content again, and user is prompted to re-shoot to complete task.
A kind of interactive learning methods of the present embodiment, by including word correspondence image, word, word application examples providing
After the card learning Content of the word and example sentence translation content of sentence and corresponding user's mother tongue, in order to further strengthen memory, provide
Shooting task in kind is selected for user, is compared, is sentenced with the identification model pre-established according to the material picture that user shoots
Whether the material picture of disconnected user's shooting corresponds to same article with task word, and then strengthens memory of the user to learned word,
Examine user to the grasp situation of learned word simultaneously, preferably auxiliary user learns language.
Embodiment two:
Embodiment two discloses a kind of electronic equipment, which includes processor, memory and program, wherein locating
One or more can be used in reason device and memory, and program is stored in memory, and is configured to be executed by processor,
When processor executes the program, realize embodiment one a kind of interactive learning methods, the electronic equipment can be mobile phone, computer,
The a series of electronic equipment of tablet computer etc..
Embodiment three:
Embodiment three discloses a kind of readable computer storage medium, which is somebody's turn to do for storing program
When program is executed by processor, a kind of interactive learning methods of embodiment one are realized.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of interactive learning methods characterized by comprising
Feedback learning task step, according to the corresponding word flash card learning tasks content of selection study instruction feedback, the word
Card includes the word and example sentence translation content of word correspondence image, word, word application example sentence and corresponding user's mother tongue；
Feedback shooting task step in kind feeds back shooting task interface in kind and related prompt according to shooting task requests；
Vision inspections step obtains the image of user's shooting, image is identified according to the identification model pre-established, by image recognition
As a result it is compared with task word, judges whether shooting task in kind is correctly completed, and feed back accordingly result.
2. a kind of interactive learning methods as described in claim 1, which is characterized in that the feedback learning task step it
Before, further includes:
Identification model step is established, the image of multiple angles under the corresponding different light in kind of each word is obtained, passes through convolutional Neural
Network algorithm carries out learning training, establishes the identification model that each word corresponds to article.
3. a kind of interactive learning methods as claimed in claim 2, it is characterised in that: it is established in identification model step described,
By carrying out feature extraction again after carrying out gray proces to each image, standard form is extracted by recognition training, is established
The identification model foundation that each word corresponds to article is completed in standard feature library.
4. a kind of interactive learning methods as claimed in claim 3, it is characterised in that: each word corresponds to article and includes
Multiple standard forms.
5. a kind of interactive learning methods as claimed in claim 3, it is characterised in that: during gray proces, pass through mass center
Alignment and linear interpolation amplification make the article in each image become unified specification.
6. a kind of interactive learning methods as described in claim 1, it is characterised in that: in the feedback learning task step,
Audio content corresponding with task word, word application examples sentence is played also according to the playing request feedback of user.
7. a kind of interactive learning methods as described in claim 1, it is characterised in that: in feedback shooting task step in kind
In, if user feeds back task word and corresponds to Chinese speech in not shooting upload image in shooting task interface set period of time
Content.
8. a kind of interactive learning methods as described in claim 1, it is characterised in that: in described image checking procedure, if with
Family material object shoots task and completes correct, the then corresponding reward of feedback；If user's material object shoots task and completes mistake, feed back just really
Object image and/or prompt user are shot again to complete task.
9. a kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, it is characterised in that: the processor realizes one as described in claim 1-8 any one when executing described program
Kind interactive learning methods.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that: the computer program
A kind of interactive learning methods as described in claim 1-8 any one are realized when being executed by processor.
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| CN112163751A (en) * | 2020-09-21 | 2021-01-01 | 百度在线网络技术（北京）有限公司 | Online learning incentive method, device, equipment and storage medium |
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